Predictors of Imperilment, Spawning Behaviour, Captive Breeding, and Transport Stress for Small-Bodied Species of Freshwater Fishes
Notice bibliographique
Résumé
Reintroducing captive-bred species into their natural habitat is important for preserving biodiversity. Reintroductions often involve a series of steps starting with assessing the conservation status of the target species, factors causing its decline, and an evaluation of potential reintroduction sites focusing on habitat quality and threats. Next, source populations need to be selected for reintroductions considering the potential impact on wild populations. When sourcing individuals from wild populations poses significant harm, captive breeding programs are established. After successfully breeding individuals in captivity, the next step is to transport the target species from their captive environment to the reintroduction site where they will be released into their natural habitat. Lastly, post-release monitoring should be conducted to assess population behavior and survival, with adaptive management strategies guiding ongoing efforts. Accordingly, this dissertation contributes knowledge to various facets of the reintroduction process, contributing largely to the captive breeding stage, thus providing valuable insights for advancing reintroduction success and conservation strategies. Chapter 2 of this dissertation reviews species prioritization for captive breeding, focusing on small-bodied minnow and darter species in North America. It explores whether natural history traits could predict conservation status. Habitat and small-body size-related natural history traits were found to be associated with imperilment for both minnows and darters, suggesting species with these natural history traits may be at greater risk of imperilment and should be given consideration for conservation-driven initiatives. Subsequent chapters (Chapters 3, 4, and 5) delve into specific aspects of the captive breeding process, focusing on Redside Dace, an endangered minnow species in Canada. Chapter 3 examines Redside Dace spawning phenology and behavior. We established a 95% probability of spawning initiation at 288 growing degree days (a measure of thermal energy in the environment), while our climate change projections found a potential advancement of spawning initiation by 3 days in 2050 and 7 days in 2100. We also found evidence that Redside Dace spawn separately and in groups on nests and have a polygynandrous mating system. Here, our findings highlight the importance of group spawning and provide insights into predicting spawn timing which may benefit captive breeding. Chapter 4 investigates the impact of environmental enrichment on gamete production, quality, and spawning coloration in hormonally induced Redside Dace, recommending enrichment for improved breeding success. Chapter 5 explores transportation logistics and the effects of transportation on Redside Dace. Here, we found that both maximum metabolic rate and thermal tolerance were not influenced by body condition or transportation, highlighting the feasibility of transporting Redside Dace to reintroduction sites. Overall, this dissertation contributes valuable insights into small-bodied minnow and darter conservation and Redside Dace reintroduction biology, potentially benefiting other small-bodied fishes requiring captive breeding.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».